| Amigo_Plays vs King | 8–8 | 50.00% |
| Amigo_Plays vs Reina | 5–7 | 41.67% |
| Amigo_Plays vs Dragunov | 8–3 | 72.73% |
| Amigo_Plays vs Bryan | 5–4 | 55.56% |
| Amigo_Plays vs Kazuya | 7–2 | 77.78% |
| Amigo_Plays vs Lili | 4–5 | 44.44% |
| Amigo_Plays vs Jin | 4–4 | 50.00% |
| Amigo_Plays vs Eddy | 0–8 | 0.00% |
| Amigo_Plays vs Steve | 0–7 | 0.00% |
| Amigo_Plays vs Asuka | 2–4 | 33.33% |
| Amigo_Plays vs Law | 0–5 | 0.00% |
| Amigo_Plays vs Hwoarang | 2–3 | 40.00% |
| Amigo_Plays vs Victor | 2–3 | 40.00% |
| Amigo_Plays vs Heihachi | 2–3 | 40.00% |
| Amigo_Plays vs Xiaoyu | 1–3 | 25.00% |
| Amigo_Plays vs Nina | 3–1 | 75.00% |
| Amigo_Plays vs Jun | 2–2 | 50.00% |
| Amigo_Plays vs Paul | 0–3 | 0.00% |
| Amigo_Plays vs Yoshimitsu | 2–1 | 66.67% |
| Amigo_Plays vs Alisa | 2–1 | 66.67% |
| Amigo_Plays vs Lee | 2–1 | 66.67% |
| Amigo_Plays vs Zafina | 3–0 | 100.00% |
| Amigo_Plays vs Leroy | 3–0 | 100.00% |
| Amigo_Plays vs Lidia | 2–1 | 66.67% |
| Amigo_Plays vs Lars | 1–1 | 50.00% |
| Amigo_Plays vs Kuma | 1–1 | 50.00% |
| Amigo_Plays vs Azucena | 1–1 | 50.00% |
| Amigo_Plays vs Jack-8 | 1–0 | 100.00% |
| Amigo_Plays vs Devil Jin | 1–0 | 100.00% |
| Amigo_Plays vs Feng | 0–1 | 0.00% |
| Amigo_Plays vs Leo | 1–0 | 100.00% |
| Amigo_Plays vs Claudio | 0–1 | 0.00% |
| Amigo_Plays vs Panda | 1–0 | 100.00% |
| Amigo_Plays vs Raven | 0–1 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.